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Paul Azemoh

Paul Azemoh

AI Data Labeler / Annotation Specialist / AI Trainer (Freelance) / Quality assurance

Nigeria flagN/A, Nigeria
$35.00/hrExpertOtherMicro1Mindrift

Key Skills

Software

Other
Micro1
MindriftMindrift
Data Annotation TechData Annotation Tech
Internal/Proprietary Tooling

Top Subject Matter

Large Language Models (LLMs)/AI Language Systems
AI/NLP Training Datasets
Multi-domain Text Datasets

Top Data Types

ImageImage
Computer Code ProgrammingComputer Code Programming
TextText

Top Task Types

Classification
Evaluation Rating
Computer Programming Coding
Prompt Response Writing SFT
Fine Tuning
Text Generation
Data Collection
Transcription
Question Answering
Text Summarization
Segmentation

Freelancer Overview

Dedicated AI Data Labeler and Trainer with hands-on experience in high-quality AI datasets. Since 2023, I have freelanced with Anthropic Claude, Revelo, Data Annotation, and Micro1 on text labeling, evaluation, ranking, quality scoring, rating, and classification. I identify reasoning gaps and hallucinations, delivering structured feedback. My 11+ years as a Software Engineer, Computer Science degree, and CCNA CEH certifications set me apart in proprietary tooling.

ExpertEnglish

Labeling Experience

AI Data Labeler / AI Trainer (Freelance) - Anthropic (Claude AI)

Computer Code ProgrammingFine Tuning
Contributed to the training and evaluation of large language models (Claude) for Anthropic. Responsibilities included performing response evaluation, ranking, and quality scoring of AI outputs across diverse tasks. Ensured improved model accuracy by providing structured feedback and annotation through detailed analysis of reasoning gaps, hallucinations, and inconsistencies. • Conducted in-depth evaluation of AI-generated responses for logical consistency and factual accuracy. • Identified reasoning gaps, hallucinations, and provided corrective feedback. • Maintained strict adherence to annotation guidelines and workflows. • Enhanced overall model quality through well-structured annotation and review processes.

Contributed to the training and evaluation of large language models (Claude) for Anthropic. Responsibilities included performing response evaluation, ranking, and quality scoring of AI outputs across diverse tasks. Ensured improved model accuracy by providing structured feedback and annotation through detailed analysis of reasoning gaps, hallucinations, and inconsistencies. • Conducted in-depth evaluation of AI-generated responses for logical consistency and factual accuracy. • Identified reasoning gaps, hallucinations, and provided corrective feedback. • Maintained strict adherence to annotation guidelines and workflows. • Enhanced overall model quality through well-structured annotation and review processes.

2026 - Present

AI Data Labeler/Trainer - Micro1

Micro1Computer Code ProgrammingEvaluation Rating
Participated in AI model training workflows and contributed to data labeling at Micro1. Assisted in refining AI outputs through detailed evaluation and by identifying reasoning and factual gaps. Maintained a high degree of accuracy during repetitive labeling and evaluation tasks following specific guidelines. • Evaluated and rated AI-generated text for alignment with guidelines. • Supported prompt and response generation for fine-tuning. • Reported issues in logic, cohesion, or factual correctness. • Upheld accuracy across ongoing labeling projects.

Participated in AI model training workflows and contributed to data labeling at Micro1. Assisted in refining AI outputs through detailed evaluation and by identifying reasoning and factual gaps. Maintained a high degree of accuracy during repetitive labeling and evaluation tasks following specific guidelines. • Evaluated and rated AI-generated text for alignment with guidelines. • Supported prompt and response generation for fine-tuning. • Reported issues in logic, cohesion, or factual correctness. • Upheld accuracy across ongoing labeling projects.

2023 - Present

Data Labeler - Revelo

OtherComputer Code ProgrammingEvaluation Rating
Performed data labeling and annotation tasks for AI training datasets at Revelo. Evaluated AI-generated responses for accuracy, clarity, and relevance to diverse use-cases. Ensured consistency and quality by following strict annotation guidelines and review processes. • Labeled text data for intent, sentiment, or relevance classification. • Conducted quality assurance of annotated datasets. • Provided structured feedback to improve model outcomes. • Supported scalable dataset creation for AI projects.

Performed data labeling and annotation tasks for AI training datasets at Revelo. Evaluated AI-generated responses for accuracy, clarity, and relevance to diverse use-cases. Ensured consistency and quality by following strict annotation guidelines and review processes. • Labeled text data for intent, sentiment, or relevance classification. • Conducted quality assurance of annotated datasets. • Provided structured feedback to improve model outcomes. • Supported scalable dataset creation for AI projects.

2023 - Present

Data Labeler/Annotator - Data Annotation Tech

OtherComputer Code ProgrammingEvaluation Rating
Labeled and categorized datasets across multiple domains while working with Data Annotation. Conducted comprehensive quality checks and validation processes to ensure integrity and reliability of AI training data. Improved dataset consistency with meticulous attention to annotation guidelines and standards. • Executed text classification and entity labeling tasks. • Identified and corrected annotation inconsistencies and errors. • Performed structured validation on labeled datasets. • Contributed to improving dataset reliability for AI models.

Labeled and categorized datasets across multiple domains while working with Data Annotation. Conducted comprehensive quality checks and validation processes to ensure integrity and reliability of AI training data. Improved dataset consistency with meticulous attention to annotation guidelines and standards. • Executed text classification and entity labeling tasks. • Identified and corrected annotation inconsistencies and errors. • Performed structured validation on labeled datasets. • Contributed to improving dataset reliability for AI models.

2023 - 2025

Education

E

Ecotes University, De La Grace, Benin

Bachelor of Science, Computer Science

Bachelor of Science
2017 - 2017
C

Cisco

CCNA Certificate, Cisco Networking

CCNA Certificate
2016 - 2016

Work History

F

Freelance

Web Developer

N/A
2016 - Present
T

TeflonHub

Lead Software Engineer

Lagos
2023 - 2024